Bibliographic record
Abstract
This article proposes a system for identifying unsigned theological articles by the abbé Edme Mallet in Diderot and d’Alembert’s Encyclopédie. Beginning with sources cited exclusively by Mallet among contributors to the Encyclopédie, we are led to a group of articles which, apart from being attributable to Mallet, contain expressions that are particular to him and that may serve in turn as search criteria. Conducting further searches with each of these expressions allows us to identify a relatively large number of anonymous articles whose common authorship is, in several instances, confirmed by cross-references. Establishing a significant presence of unsigned articles by Mallet, particularly in the later volumes of the Encyclopédie, calls into question prior assump tions as to the nature and extent of his contribution. In contrast with the traditional view that Mallet’s participation was primarily limited to the early volumes, this article relies on evidence that indicates he provided manuscripts for the entire Encyclopédie in fulfilment of his original contract prior to the publication of the Prospectus.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.016 | 0.009 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".